Frei, Spencer, Chatterji, Niladri, and Bartlett, Peter L. Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data. Retrieved from https://par.nsf.gov/biblio/10344164. Proceedings of the 35th Conference on Learning Theory (COLT2022) .
Frei, Spencer, Chatterji, Niladri, & Bartlett, Peter L. Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data. Proceedings of the 35th Conference on Learning Theory (COLT2022), (). Retrieved from https://par.nsf.gov/biblio/10344164.
Frei, Spencer, Chatterji, Niladri, and Bartlett, Peter L.
"Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data". Proceedings of the 35th Conference on Learning Theory (COLT2022) (). Country unknown/Code not available. https://par.nsf.gov/biblio/10344164.
@article{osti_10344164,
place = {Country unknown/Code not available},
title = {Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data},
url = {https://par.nsf.gov/biblio/10344164},
abstractNote = {},
journal = {Proceedings of the 35th Conference on Learning Theory (COLT2022)},
author = {Frei, Spencer and Chatterji, Niladri and Bartlett, Peter L.},
}
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